limenghao opened a new pull request #7021:
URL: https://github.com/apache/tvm/pull/7021


   Add features in the paper (AdaTune: Adaptive Tensor Program Compilation Made 
Efficient).
   Main changes:
   1. In `./python/tvm/autotvm/measure/measure_methods.py`. Add an optional 
argument `enable_adaptive_evaluator` in the measure_option, when it is set as 
true, it will use the adaptive evaluator to do the evaluation.
   2. Add RFEITuner and RFEICostModel in `tvm/autotvm/tuner/`. Add an optional 
argument `uncertainty_aware` in the ModelBasedTuner. When it is set true, it 
will use an dynamic epsilon to control the epsilon-greedy searching process.
   


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